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» Algorithms for Clustering Data
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 11 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
TDSC
2010
218views more  TDSC 2010»
13 years 6 months ago
Secure Data Objects Replication in Data Grid
—Secret sharing and erasure coding-based approaches have been used in distributed storage systems to ensure the confidentiality, integrity, and availability of critical informati...
Manghui Tu, Peng Li, I-Ling Yen, Bhavani M. Thurai...
CVPR
2004
IEEE
14 years 10 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
BIBM
2008
IEEE
107views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Multiway Clustering for Creating Biomedical Term Sets
We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both ...
Vasileios Kandylas, Lyle H. Ungar, Ted Sandler, Sh...
NIPS
2008
13 years 9 months ago
On the Reliability of Clustering Stability in the Large Sample Regime
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
Ohad Shamir, Naftali Tishby